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Technology, Knowledge and Learning
Erschienen in:

27.07.2021 | Original research

Knowledge Annotation for Intelligent Textbooks

verfasst von: Mengdi Wang, Hung Chau, Khushboo Thaker, Peter Brusilovsky, Daqing He

Erschienen in: Technology, Knowledge and Learning | Ausgabe 1/2023

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Abstract

Der Artikel diskutiert die Entwicklung von Lehrbüchern zu intelligenten Lehrbüchern und hebt die Rolle der Keyphrase-Extraktion und -Anmerkung bei der Stärkung dieser Technologien hervor. Es führt ein systematisches Anmerkungsverfahren ein, das für ein Lehrbuch an einer Hochschule entworfen und ausgewertet wurde, und betont die Bedeutung eines codebook-gestützten Ansatzes, der von einem Expertenteam durchgeführt wird. Die Studie zeigt die Effektivität dieses Ansatzes anhand von Aufgaben wie der Verknüpfung von Dokumenten und der Modellierung von Studenten auf und zeigt das Potenzial qualitativ hochwertiger Anmerkungen zur Verbesserung intelligenter Lehrbücher auf. Die Ergebnisse umfassen ein abgeschlossenes Anmerkungsverfahren, ein umfassendes Kodierungsschema und ein öffentlich zugängliches Korpus für weitere Forschungen auf diesem Gebiet.
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Diese Zusammenfassung des Fachinhalts wurde mit Hilfe von KI generiert.

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Metadaten
Titel
Knowledge Annotation for Intelligent Textbooks
verfasst von
Mengdi Wang
Hung Chau
Khushboo Thaker
Peter Brusilovsky
Daqing He
Publikationsdatum
27.07.2021
Verlag
Springer Netherlands
Erschienen in
Technology, Knowledge and Learning / Ausgabe 1/2023
Print ISSN: 2211-1662
Elektronische ISSN: 2211-1670
DOI
https://doi.org/10.1007/s10758-021-09544-z

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